Evidence map›Paper›PMID 37884084›Full record

Observational studyArchives of physical medicine and rehabilitation2024

Post-stroke Depressive Symptoms and Cognitive Performances: A Network Analysis.

Yun Shi, Eric J Lenze, David C Mohr, Jin-Moo Lee, Lu Hu, Christopher L Metts, Mandy W M Fong, Alex W K Wong

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Archives of physical medicine and rehabilitation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Yun ShiCenter for Healthful Behavior Change, Institute for Excellence in Health Equity, NYU Langone Health, New York, NY; Department of Population Health, New York University Grossman School of Medicine, New York, NY.
Eric J LenzeDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO.
David C MohrCenter for Behavioral Intervention Technologies, Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL.
Jin-Moo LeeDepartment of Neurology, Washington University School of Medicine, St. Louis, MO.
Lu HuCenter for Healthful Behavior Change, Institute for Excellence in Health Equity, NYU Langone Health, New York, NY; Department of Population Health, New York University Grossman School of Medicine, New York, NY.
Christopher L MettsDepartment of Pathology and Laboratory Medicine, Medical University of South Carolina, Charleston, SC.
Mandy W M FongDepartment of Physical Medicine and Rehabilitation, Northwestern University Feinberg School of Medicine, Chicago, IL; Michigan Avenue Neuropsychologists, Chicago, IL.
Alex W K WongDepartment of Physical Medicine and Rehabilitation, Northwestern University Feinberg School of Medicine, Chicago, IL; Center for Rehabilitation Outcomes Research, Shirley Ryan AbilityLab, Chicago, IL; Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL. Electronic address: wwong@sralab.org.
Northwestern University · USInstitute for Family Health · USWashington University in St. Louis · USMedical University of South Carolina · US

Funding

Technology Development ComponentP2CHD101899 · NICHD · REHABILITATION INSTITUTE OF CHICAGO D/B/A SHIRLEY RYAN ABILITYLAB · PI JAYARAMAN, ARUN · 2020 to 2024
$5.6M
Mobile Rehabilitation for Daily Life Participation Post-StrokeK01HD095388 · NICHD · WASHINGTON UNIVERSITY · PI WONG, WING KAI · 2019 to 2023
$642k
NICHD NIH HHS K01 HD095388NICHD NIH HHS P2C HD101899
6 · The paper itself

Abstract

objectiveTo examine the relationships between post-stroke depression and cognition using network analysis. In particular, we identified central depressive symptoms, central cognitive performances, and bridge components that connect these 2 constructs.

designAn observational study. We applied network analysis to analyze baseline data to visualize and quantify the relationships between depression and cognition.

settingHome and Community.

participants202 participants with mild-to-moderate stroke (N=202; mean age: 59.7 years; 55% men; 55% Whites; 90% ischemic stroke).

interventionNot applicable.

main outcome measuresPatient Health Questionnaire (PHQ-8) for depressive symptoms and the NIH Toolbox Cognitive Battery for cognitive performances.

resultsDepressive symptoms were positively intercorrelated with the network, with symptoms from similar domains clustered together. Mood (expected influence=1.58), concentration (expected influence=0.67), and guilt (expected influence=0.63) were the top 3 central depressive symptoms. Cognitive performances also showed similar network patterns, with executive function (expected influence=0.89), expressive language (expected influence=0.68), and processing speed (expected influence=0.48) identified as the top 3 central cognitive performances. Psychomotor functioning (bridge expected influence=2.49) and attention (bridge expected influence=1.10) were the components connecting depression and cognition.

conclusionsThe central and bridge components identified in this study might serve as targets for interventions against these deficits. Future trials are needed to compare the effectiveness of interventions targeting the central and bridge components vs general interventions treating depression and cognitive impairment as a homogenous clinical syndrome.

Indexed as

DepressionStrokeAgedCognitionExecutive FunctionFemaleHumansMaleMiddle AgedNeuropsychological TestsCognitionDepressionNetwork analysisNeuropsychiatryStroke

Identifiers

PMID37884084
PMCPMC11039566
OpenAlexW4387910365

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.